Ishan Dutta
Community@ishandutta2007 · World
is an AI obsessed Entrepreneur, #ex-FAANG, #GenerativeAI, #RPA.
Agent Skills by Ishan Dutta
Showing 57 vetted skills indexed across 2 GitHub repositories.
hive-mind-advanced
Orchestrates queen-led multi-agent swarms with consensus voting and persistent collective memory.
V3 MCP Optimization
Optimizes MCP server performance with connection pooling, load balancing, and tool registry indexing.
stream-chain
Chains sequential agent prompts into multi-step workflows with streaming context flow.
sparc-methodology
Orchestrates multi-agent software development using the SPARC methodology with 17 specialized modes.
worker-integration
Dispatches background worker triggers to specialized agents and tracks execution performance metrics.
Hooks Automation
Automates pre/post-operation hooks, session management, and memory coordination for Claude Code workflows.
V3 CLI Modernization
Modernizes claude-flow v3 CLI with modular commands, interactive prompts, and hooks integration.
github-workflow-automation
Automates GitHub Actions workflows, CI/CD pipelines, and repository management with swarm coordination.
Verification & Quality Assurance
Verifies code quality with truth scoring and automatic rollback of failed changes.
V3 Deep Integration
Migrates claude-flow onto agentic-flow@alpha adapters to eliminate duplicate orchestration code.
Skill Builder
Create Claude Code Skills with YAML frontmatter and progressive disclosure structure.
agentic-jujutsu
Coordinates lock-free version control and self-learning trajectories for concurrent AI agents.
V3 Core Implementation
Implements DDD domains, entities, repositories, and use cases for claude-flow v3 in TypeScript.
flow-nexus-swarm
Deploy cloud-based AI agent swarms and automate event-driven workflows on the Flow Nexus platform.
ReasoningBank with AgentDB
Implements adaptive agent learning with trajectory tracking, verdict judgment, and memory distillation on AgentDB.
ReasoningBank Intelligence
Implements adaptive learning for AI agents using pattern recognition and strategy optimization.
V3 Security Overhaul
Remediates critical CVEs and implements secure-by-default patterns for claude-flow v3.
swarm-advanced
Orchestrates multi-agent swarms for research, development, testing, and analysis workflows.
performance-analysis
Detect bottlenecks and generate performance reports for Claude Flow agent swarms.
github-release-management
Orchestrates GitHub releases with automated versioning, testing, deployment, and rollback workflows.
AgentDB Advanced Features
Configure QUIC synchronization, hybrid search, and multi-database management for AgentDB vector stores.
flow-nexus-neural
Train and deploy neural networks in distributed E2B sandboxes via Flow Nexus MCP tools.
V3 DDD Architecture
Decomposes monolithic orchestrator code into Domain-Driven Design bounded contexts with clean architecture layers.
Swarm Orchestration
Orchestrates multi-agent swarms with mesh, hierarchical, and adaptive topologies for parallel task execution.
Frequently Asked Questions About Ishan Dutta
FAQPage SchemaWhat tasks can I accomplish with ishandutta2007's skill registry?▼
You can coordinate multi-agent swarms with hive-mind consensus, run SPARC methodology development cycles, manage GitHub releases and code reviews with swarm coordination, implement AgentDB vector search and persistent agent memory, and apply systematic debugging, TDD, and safe refactoring practices.
Who should use these Claude Flow and agentic-flow skills?▼
Platform engineers and backend developers building distributed multi-agent systems, DevOps engineers automating GitHub CI/CD pipelines, and engineering leads enforcing code quality through structured reviews, truth-score verification, and test-driven development benefit most from this registry.
What are the installation and runtime requirements?▼
Most GitHub skills require the gh CLI, git, Node.js v16-20+, and claude-flow or ruv-swarm. Flow Nexus skills need an active account at flow-nexus.ruv.io with its MCP server configured. AgentDB skills run within the agentic-flow environment with MCP integration.
How do the AgentDB and ReasoningBank skills improve agent performance?▼
AgentDB provides HNSW indexing for 150x-12,500x faster search, quantization for 4-32x memory reduction, and QUIC synchronization. ReasoningBank adds trajectory tracking, verdict judgment, and 9 reinforcement learning algorithms including Decision Transformer, Q-Learning, and Actor-Critic for self-improving agents.
Do these skills include quality and security safeguards?▼
Yes. The Verification & Quality Assurance skill enforces truth scoring with a 0.95 accuracy threshold and automatic rollback, while V3 Security Overhaul addresses critical CVEs with secure-by-default patterns. Pair programming and code review skills add continuous security scanning and quality gates.